bci_learning:伴随“通过神经重结合学习”的代码包，自然神经科学，2018年
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2021-05-19
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bci_learning-master.zip （82个子文件） 
bci_learning-master general 
stringContainsi.m 294B findRowsOfAInB.m 293B assignopts.m 3KB populationLevelSignatures computeVarianceVsPushingMagnitude.m 865B computeVariabilityAlongBCIMappings.m 925B computeRepertoireChange.m 897B computePartitionedVariance.m 901B computeDomainChange.m 6KB computePopulationMetrics.m 2KB varVsPM_computeSlopes.m 716B plotting plotFigure6.m 2KB plotDataAndSummary.m 3KB plotFigure5.m 639B getFigureColors.m 1KB barCompareN_repertoireChange.m 4KB plotFigure7.m 1KB annotateRepertoireChangePanel.m 410B plotFigure3.m 7KB plotBox.m 4KB getTicks.m 359B plotFigure4.m 809B plotFigure8.m 904B boxCompareN.m 2KB plotDataAndLinearRegression.m 2KB getDecentAxisLims.m 835B plotConvexHull.m 786B getDecentTicks.m 2KB statistics bernoulliPost.m 888B meanAndSEM.m 132B percentile.m 2KB meanAndCov.m 144B clouds computeCloudStats.m 2KB LICENSE 1KB simulate simulateReassociation.m 2KB simulateRealignment.m 2KB simulateRescaling.m 2KB simulateSubselection.m 2KB simulatePartialRealignment.m 747B helper simulate_findMatchedProgressFactors.m 7KB getSimulateFcn.m 541B extractActualLearningActivity.m 994B simulateRealignment_findMaxProgressFactors.m 1KB generateFromIntuitiveClouds.m 1KB computeFeasibleSpikesFromFactors.m 4KB generateHypothesisPredictions.m 406B computeMarginalSignalDomains.m 530B reconstructPostLearningClouds.m 2KB computeRescalingParams.m 2KB mergeSimulatedData.m 353B simulate_matchProgress.m 518B generateFromConditionalClouds.m 1KB simulateRealignment_constrainMarginalDomains.m 1KB computeFeasibleSpikesFromFactors_solveWithLinProg.m 1KB simulateReassociation_rediscretizeClouds.m 3KB initializeSimulation.m 449B extractSpikesToFactorsMapping.m 1006B computeMarginalDomains.m 313B getNumberOfPointsPerMovementSpecificCloud.m 282B generatePreLearningActivity.m 1021B simulateFactorsAndFiringRates.m 2KB simulateReassociation_findMaxProgressFactors.m 5KB matchProgressViaSubselection.m 2KB exampleData.mat 247KB math convhull_removeOutliers.m 4KB columnNorms.m 80B floorToNearestN.m 119B scaleLinearlyToZeroOne.m 487B computeMahalanobisDistance.m 650B ceilToNearestN.m 117B percentChange.m 263B normalizeColumns.m 99B .gitignore 21B behavior computeExpectedAcquisitionTime.m 486B computeFactorPushingDirections.m 2KB computeProgressOfProjection.m 927B computeMeanCursorToTargetDirection.m 357B computePrescaledExpectedAcquisitionTime.m 733B computeConditionAveragedProgress.m 258B computeControlPlaneActivity.m 2KB addpaths.m 343B README.md 2KB run.m 8KB资源评论
